When you get a CT scan or MRI, a specialist called a radiologist examines hundreds of images to find any
problems.
This takes a lot of time and can be mentally exhausting. Radiomind acts as a smart
assistant —
it looks at the images first, highlights anything unusual, and hands off a pre-analyzed study to the
radiologist.
The result? Faster answers for patients, fewer missed findings, and a less overwhelmed medical team.
Results in Minutes, Not Hours
AI flags critical findings instantly so doctors can act fast.
Nothing Gets Missed
AI never gets tired — it reviews every pixel with consistent precision.
More Time for Patients
With routine tasks automated, radiologists focus on complex cases.
Our platform leverages convolutional neural networks (CNNs) and vision transformers (ViTs) trained on over 5
million annotated DICOM studies.
Multi-task learning enables simultaneous detection, segmentation, and structured reporting across CT, MRI,
X-ray, and ultrasound modalities.
The inference pipeline integrates directly with PACS via DICOM DIMSE and DICOMweb protocols, with
sub-3-second turnaround per study.
Ensemble Deep Learning Architecture
EfficientNet-V2 + Swin Transformer ensemble with uncertainty quantification.